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Emirates Leisure Retail

<div>
 
 
 About Us
 
 
 
 Maritime Mercantile International (MMI) is a leading distributor and retailer of premium wines, spirits, champagne, beer, and non- alcoholic beverages across three continents. Emirates Leisure Retail (ELR) is a global leader in food and beverage retail, operating over 300 restaurants, caf&eacute;s, and bars across six countries.
 
 
 
 
 
 Our portfolio features partnerships with world-renowned wine, spirit, and beer producers and beloved international brands like Costa Coffee and Pret A Manger, alongside distinctive homegrown concepts such as Mr. Toad&rsquo;s, Saddle, and the award-winning ZOMA in Zanzibar.
 
 
 
 
 
 As proud subsidiaries of the Emirates Group, MMI &amp; ELR share one mission: to bring more to life. Guided by our HERO values: Honesty, Excellence, Respect, and Opportunity, we create memorable moments for our customers, our people, and the communities we serve.
 
 
 
 
 
 
 Role Purpose
 
 
 
 
 
 
 As a Data Scientist within the CRM &amp; Loyalty team, you&rsquo;ll transform customer and operational data into powerful strategies that elevate how we engage, retain, and grow our customer base. You will own and be the champion of measurement and advanced analytics, uncovering hidden patterns that drive smarter decisions and tangible results.
 
 
 
 
 
 This is a high-impact role where your insights will directly influence key decisions, fuel loyalty innovation, and shape the customer journey across our e-commerce platform, mobile app, retail stores and b2b accounts. Beyond CRM &amp; Loyalty, you&rsquo;ll also partner with cross-functional teams to address strategic challenges in retail operations, pricing &amp; promotions, category strategy, and B2B performance &mdash; solving high-value business problems with data.
 
 
 
 
 
 By combining statistical modelling, machine learning, and domain knowledge, you will provide deep, actionable insights that empower the business to anticipate customer needs, design personalized experiences, and strengthen our position as the region&rsquo;s leading master franchise of a global coffee brand.
 
 
 
 
 
 
 Key Accountabilities:
 
 
 
 
 
 
 <ul>
 <li>
 Build and evolve customer data architecture to support advanced analytics, segmentation, and campaign personalization across CRM and loyalty ecosystems.
 </li>
 <li>
 Develop predictive models and analytical frameworks to forecast customer behavior, optimize program performance, and drive data-informed decision-making.
 </li>
 <li>
 Transform complex data into actionable insights, delivering clear recommendations that improve targeting, retention, and lifetime value.
 </li>
 <li>
 Partner with cross-functional teams (e.g., BI, marketing, e-commerce, retail, category) to align data science efforts with strategic business goals.
 </li>
 <li>
 Continuously explore new tools and trends in data science to maintain technical excellence and deliver innovative customer solutions.
 </li>
 <li>
 Perform statistical analysis and/or data mining methods to discover hidden patterns and relations in data to answer business questions
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 Required Skills, Experience &amp; Qualification
 
 
 <ul>
 <li>
 Minimum 5 years&rsquo; experience in data analytics.
 </li>
 <li>
 Proficient in SQL and Python/R, using them to solve real business problems.
 </li>
 <li>
 Strong understanding of customer behaviour and drivers of retention, loyalty, and value.
 </li>
 <li>
 Skilled at simplifying complex concepts and collaborating with marketing, e-commerce, and BI teams.
 </li>
 <li>
 Knowledge in data visualization tools like Power BI or Tableau or Looker
 </li>
 <li>
 Passionate about segmentation, uplift modelling, and campaign design.
 </li>
 </ul>
 
 
 
 
 
 Desirable Skills
 
 
 <ul>
 <li>
 Experience in consuming API&rsquo;s and automating processes with API&rsquo;s
 </li>
 <li>
 Experience in retail business/e-commerce
 </li>
 </ul>
 
 
 
 
 
 Why Join Us?
 
 
 
 Join
 
 MMI &amp; ELR Group
 
 and use your data science expertise to shape the future of our CRM, loyalty, and e-commerce strategies. Collaborating with marketing, retail, and digital teams, you&rsquo;ll see your insights directly influence business decisions, customer experiences, and revenue growth &mdash; all within a forward-thinking organization that values innovation, collaboration, and measurable impact.
 
 
 
 
 
 
 How to Apply
 
 
 
 Click the 'Apply' button to join our team
 
 
 
</div>

Data Scientist

Jex Recruitment | Connecting top talent with leading companies

<div>
 
 
 Data Scientist &ndash; Credit Risk (Financial Services)
 
 
 
 Dubai (Hybrid)
 
 
 
 
 
 We&rsquo;re working with a leading financial services organisation in Dubai looking to hire a
 
 Data Scientist
 
 focused on
 
 credit risk modelling and portfolio analytics
 
 .
 
 
 
 
 
 
 
 
 💡
 
 What you&rsquo;ll be doing
 
 
 
 &bull; Build and enhance credit risk models across retail or corporate portfolios
 
 
 &bull; Analyse large financial datasets to identify risk trends, portfolio performance, and early warning signals
 
 
 &bull; Support IFRS9 provisioning, stress testing, and capital modelling initiatives
 
 
 &bull; Work with structured and alternative datasets to improve segmentation and predictive insight
 
 
 &bull; Monitor portfolio health and deliver dashboards/reporting to key stakeholders
 
 
 &bull; Collaborate with risk, underwriting, and product teams to translate insights into actionable credit strategies
 
 
 &bull; Contribute to documentation, governance, and regulatory compliance of models
 
 
 
 
 
 ✅
 
 What we&rsquo;re looking for
 
 
 
 &bull; Experience within banking, fintech, or lending environments in a Data Science / Credit Risk Analytics capacity
 
 
 &bull; Hands-on
 
 model development experience
 
 across credit risk or lending models (PD, LGD, EAD, application or behavioural scorecards)
 
 
 &bull; Strong statistical background (logistic regression, decision trees, GBM, segmentation, survival analysis)
 
 
 &bull; Proficiency with Python or SAS plus SQL for data extraction and analysis
 
 
 &bull; Good understanding of the credit lifecycle and model monitoring / recalibration concepts
 
 
 &bull; Familiarity with IFRS9, Basel, stress testing, or model governance frameworks is highly desirable
 
 
 &bull; Ability to communicate insights clearly to non-technical stakeholders
 
 
 
</div>

Senior Data Scientist

1inch

<div>
 1inch is the DeFi ecosystem building financial freedom for everyone. 1inch products help users and builders trade, hold and track digital assets - with the self-custody, comprehensive security and the intuitive user experience they need to unlock the potential of true crypto ownership. 1inch protocols and APIs provide core infrastructure across the DeFi industry and beyond.
 
 
 So if you&rsquo;re someone who thinks big, moves fast and wants to make an impact right from day one, then get ready to join our industry-changing team.
 
 
 
 Location: We prioritise candidates who are based in Dubai then consider those working remotely in one of our European Hub Locations (UK, Spain or Germany).
 
 
 
 We&rsquo;re looking for a Senior Data Scientist to help strengthen our growing Data &amp; Analytics team. This role will play a key part in improving our data infrastructure, maintaining high data quality, and delivering fast, actionable insights across teams. They&rsquo;ll also support product, business, and strategic decision-making through advanced analytics. Please note you must have experience working as a Data Scientist and this role is not for ML/AI engineers. Strong Data Scientist with SQL &amp; Python experience.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Actively shaping how company uses data for strategic decisions
 </li>
 <li>
 Enhance data infrastructure and tooling for improved efficiency
 </li>
 <li>
 Support critical business units with ad-hoc analytics and insights
 </li>
 <li>
 Conduct deep-dive research and analysis to uncover actionable findings
 </li>
 <li>
 Improve data collection and analytics processes across teams
 </li>
 <li>
 Ensure dashboards provide clarity, usability, and real-time visibility
 
 
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Minimum 6+ years of experience in data science, data analytics, this role is not for an MI/AI engineer
 </li>
 <li>
 Proven track record of implementing data infrastructure improvements and optimisations
 </li>
 <li>
 Prior experience working with blockchain tools or DeFi data strongly preferred
 </li>
 <li>
 Strong proficiency in SQL, Python, and data visualisation tools
 </li>
 <li>
 Experience with data warehousing, ETL processes, and data pipeline optimisation
 </li>
 <li>
 Understanding of statistical concepts and practical experience applying them
 </li>
 <li>
 Ability to translate complex findings into clear, actionable insights
 </li>
 <li>
 Collaborative mindset with excellent communication skills to work effectively across teams
 
 
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 
 <ul>
 <li>
 Crypto/Web3 analytical stack (Dune, Nodes, Flipside)
 </li>
 <li>
 Low level blockchain data understanding (traces, events)
 </li>
 <li>
 Experience in uncovering business-driving data insights
 
 
 
 
 </li>
 </ul>
 
 Why Work For Us?
 
 
 
 
 <ul>
 <li>
 Join a young, creative team in a fast-paced and supportive environment
 </li>
 <li>
 We&rsquo;re open to new ideas &mdash; if you&rsquo;ve got a vision, pitch it and make it happen
 </li>
 <li>
 Enjoy competitive pay that matches your skills and experience
 </li>
 <li>
 Be part of a company that&rsquo;s shaping the future of DeFi
 </li>
 <li>
 Take time when you need it &mdash; we offer unlimited vacation days
 </li>
 <li>
 Get fully compensated for your work gear &mdash; we&rsquo;ll set you up for success
 
 
 
 
 </li>
 </ul>
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
</div>

Emirates NBD

<div>
 
 
 Organization Unit Purpose
 
 
 
 Emirates NBD is one of the largest banks in the Middle East, with over USD 6Bn in revenues and 14000 employees globally. As part of its strategic mandate, the bank has recently setup its Advanced Analytics Centre of Excellence for driving ENBD&rsquo;s ambitious advanced analytics agenda across ENBD.
 
 
 
 
 
 Core objectives of the center include:
 
 
 - Deliver 500-800 Mn AED business impact through a series of use cases/ AA projects executed in collaboration with the BU&rsquo;s
 
 
 - Instill a data driven culture across ENBD by building organization wide capabilities in advanced analytics
 
 
 
 
 
 The CoE will act as an enabler to the BUs to deploy advanced analytics models to drive smarter decisions across different domains. It will act as a guiding light to BUs to ideate on what&rsquo;s possible with advanced analytics, help them prioritize these ideas, and pilot and productionalize them through cross-functional AA squads.
 
 
 
 
 
 It will house highly skilled data scientists, data engineers and other digital talent that will be an integral part of cross-functional squads that execute AA projects.
 
 
 
 
 
 The AA agenda is a high visibility and high priority initiative for ENBD. AA CoE will be governed at ExCo level, including impact tracking, a ringfenced budget &amp; performance management
 
 
 
 
 
 
 Job Purpose
 
 
 <ul>
 <li>
 The data scientist scopes, designs, and implements machine-learning models to support use case execution with a view of achieving overall objectives and targets
 </li>
 <li>
 The role is highly collaborative and works with product owners, business translator, data warehousing and data engineering teams in creating big data applications through the utilization of structured and unstructured data, designing optimal data architecture, and experimenting on new machine learning techniques
 </li>
 <li>
 The senior data scientist is expected to take charge of end to end delivery of machine learning models including regularly testing and maintain analytical models to improve efficiency and keep up with changing business needs
 </li>
 <li>
 The role supports Translators in communicating the design, functioning and output of the analytical models/solutions developed
 </li>
 <li>
 The senior data scientist additionally plays a mentorship role to others in the team, guiding junior colleagues in execution of their duties, and mentoring them in their professional growth
 </li>
 </ul>
 
 
 
 
 
 Job Content
 
 
 
 Deliver a strong roadmap of AA projects in collaboration with Business Units
 
 <ul>
 <li>
 Designs and implement machine-learning models to support the business&rsquo;s numerous initiatives and programs with a view of achieving overall objectives and targets
 </li>
 </ul>
 
 
 Artefact documentation
 
 
 <ul>
 <li>
 Successful documentation of reusable code
 </li>
 </ul>
 
 
 Development and learning
 
 
 <ul>
 <li>
 Achieve personal technical development and learning goals
 </li>
 </ul>
 
 
 Collaboration and knowledge share
 
 
 <ul>
 <li>
 Conduct knowledge sharing sessions internally within the CoE as well as externally in meetups, conferences etc
 </li>
 <li>
 Participates in and helps plan cultural initiatives for CoE
 </li>
 </ul>
 
 
 
 
 
 Education
 
 
 <ul>
 <li>
 University degree
 </li>
 <li>
 Advanced degree (MS/Ph.D) in Computer Applications, Economics, Statistics or Mathematics or related technical discipline with high analytical rigor is desirable
 </li>
 </ul>
 
 
 
 
 
 Experiences
 
 
 
 6-8 years of experience in a data science role is essential
 
 
 
 
 
 
 Knowledge &amp; Skills
 
 
 <ul>
 <li>
 Validated experience of defining analytics road map and leading analytics engagements
 </li>
 <li>
 Should have experience in machine learning, statistics, optimization or related fields
 </li>
 <li>
 Experience with programming is a must; specifically experience in R or Python
 </li>
 <li>
 Experience of working with large data sets, simulation/ optimization and distributed computing tools (Map/Reduce, Hadoop, Hive, Spark, etc.) is essential
 </li>
 <li>
 Strong analytical and problem-solving skills
 </li>
 <li>
 Worked in agile environments with multiple stakeholders from the business
 </li>
 </ul>
 
 
 
 
 
 Behavioral Competencies
 
 
 <ul>
 <li>
 Practical and action oriented
 </li>
 <li>
 Compelling communicator
 </li>
 <li>
 Excellent stakeholder management
 </li>
 <li>
 Foster and promote entrepreneurial spirit and curiosity amongst team members
 </li>
 <li>
 Team player
 </li>
 <li>
 Quick learner
 </li>
 </ul>
 
 
</div>

Envision Employment Solutions

<div>Envision Employment Solutions is currently hiring a Lead Data Scientist for one of our partners, a global leader in IT Services and IT Consulting.
Job Summary:
We are seeking a visionary AI leader to drive enterprise-scale AI strategy, architecture, and delivery. This role requires deep expertise in large language models (LLMs), AI governance, and production-grade ML platforms, combined with strong leadership and executive communication capabilities.
The ideal candidate has extensive experience building and scaling enterprise AI ecosystems and leading multidisciplinary teams across complex environments.
Responsibilities:
Strategic AI Leadership<ul><li>
Define and drive AI roadmaps aligned with corporate strategy</li><li>
Oversee the full model lifecycle from research and experimentation to production deployment</li><li>
Ensure measurable ROI and business impact from AI initiatives</li></ul>
LLM &amp; NLP Architecture (Enterprise Level)<ul><li>
Design LLM ecosystems including RAG pipelines, orchestration layers, and fine-tuning strategies</li><li>
Lead domain-specific model fine-tuning and pretraining using proprietary datasets</li><li>
Integrate platforms such as Azure OpenAI, AWS Bedrock, Anthropic Claude, and Google Vertex AI</li><li>
Define governance, compliance, and security frameworks for LLM deployments</li><li>
Establish evaluation standards for hallucination rate, factual accuracy, bias, and toxicity</li></ul>
Infrastructure &amp; Governance<ul><li>
Own data governance policies and feature store strategy</li><li>
Lead model observability, monitoring, and drift management frameworks</li><li>
Partner with DevOps and Security to ensure scalability, resilience, and compliance</li></ul>
Team &amp; Stakeholder Leadership<ul><li>
Build and lead multidisciplinary AI teams including Data Scientists, ML Engineers, and Data Engineers</li><li>
Mentor senior scientists and define research best practices</li><li>
Communicate directly with executive leadership and non-technical stakeholders</li><li>
Evaluate AI vendors and technology partnerships</li></ul> 

Requirements 
Qualifications:<ul><li>
Master&rsquo;s or PhD in AI, Machine Learning, Computer Engineering, or Applied Math or a related field</li><li>
Minimum 7 years of overall professional experience</li><li>
At least 2+ years in AI/ML leadership roles</li><li>
Proven ability to build and scale enterprise-level AI/LLM platforms.</li></ul>
Leadership Competencies<ul><li>
Visionary mindset driving innovation across business units.</li><li>
Excellent executive communication and influence skills.</li><li>
Focused on measurable ROI, scalability, and ethical AI.</li><li>
Mentors senior scientists, defining best practices and research direction.</li></ul> 

Benefits 
Benefits &amp; Work Setup<ul><li>
Basic salary</li><li>
Family Medical Insurance</li><li>
Round-trip family flight tickets once per year</li><li>
Visa coverage</li><li>
Location: Dubai</li><li>
Work Model: Hybrid &ndash; 2 days in the office and 3 days remote. If assigned to a project, you may be required to work from the client&rsquo;s premises on a daily basis, depending on the project requirements.</li><li>
Working Hours: 9 AM to 6 PM</li><li>
Days Off: Saturdays and Sundays</li></ul></div>

Lead Data Scientist

Dataiku

<div>
 Dataiku is The Universal AI Platform&trade;, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Providing no-, low-, and full-code capabilities, Dataiku meets teams where they are today, allowing them to begin building with AI using their existing skills and knowledge.
 
 
 The role of a Data Scientist at Dataiku is quite unique. Our Data Scientists not only code up solutions to real-world problems, but also participate in client-facing endeavours throughout the customer journey. This includes supporting their discovery of the platform, helping integrate Dataiku with other tools and technologies, some user training, and co-developing data science projects from design to deployment.
 
 
 Just as non-technical skills are important, so too are technical skills. Our Data Scientists work on the Dataiku platform every day. Aside from the visual tools, our team primarily uses Python and SQL, with occasional work in other languages (e.g., R, PySpark, JavaScript). An ideal candidate is excited to learn complex new technologies and modelling techniques while being able to explain their work to other data scientists and clients.
 
 
 
 In This Role, You'll Help The Team
 
 
 
 <ul>
 <li>
 Co-develop production-level data science projects with our customers
 </li>
 <li>
 Analyse and investigate various kinds of data and machine learning applications across industries and use cases
 </li>
 <li>
 Help users discover and master the Dataiku platform, via user trainings, office hours, and ongoing consultative support
 </li>
 <li>
 Provide data science expertise both to customers and internally to Dataiku&rsquo;s sales and marketing teams
 </li>
 <li>
 Develop custom Python-based &ldquo;plugins&rdquo; in collaboration with Solutions, R&amp;D, and Product teams, to enhance Dataiku&rsquo;s functionality
 
 
 </li>
 </ul>
 
 You might be a good fit for the role if you have:
 
 
 
 <ul>
 <li>
 English - fluent, Arabics - fluent/native will be a big plus
 </li>
 <li>
 Curiosity and a desire to learn new topics and skills
 </li>
 <li>
 Empathy for others and an eagerness to share your knowledge and expertise with your colleagues, Dataiku&rsquo;s customers, and the general public
 </li>
 <li>
 The ability to clearly explain complex topics to technical as well as non-technical audiences
 </li>
 <li>
 2 - 10 years of experience with Python and SQL
 </li>
 <li>
 2 - 10 years of experience with building ML models and using ML tools (e.g., sklearn)
 </li>
 <li>
 Familiarity with data visualisation in Python and R
 </li>
 <li>
 Understanding of underlying data systems such as Cloud architectures, Hadoop, or SQL
 
 
 </li>
 </ul>
 
 Technical Skills That May Help You In The Role
 
 
 
 <ul>
 <li>
 Experience with Consulting and/or Customer-facing Data Science roles
 </li>
 <li>
 Experience with Data Engineering or MLOps
 </li>
 <li>
 Experience developing WebApps in JavaScript, RShiny, or Dash
 </li>
 <li>
 Experience building APIs
 </li>
 <li>
 Experience using enterprise data science tools
 </li>
 <li>
 Passion for teaching or public speaking
 
 
 </li>
 </ul>
 
 What are you waiting for!
 
 
 
 At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you&rsquo;d like to learn even more about working here, you can visit our Dataiku LinkedIn page.
 
 
 
 Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at:
 
 reasonable-accommodations@dataiku.com
 
 
 
 Protect yourself from fraudulent recruitment activity
 
 
 
 
 Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity here.
 
 
 
</div>

Transguard Workforce Solutions

<div>
 
 Transguard Workforce Solutions is the UAE&rsquo;s leading provider of unique and innovative HR solutions. With a decade of experience in the region and a team that possesses extensive knowledge of the market, we provide a fully integrated HR solution.
 
 
 We are currently recruiting for an
 
 Data Scientist - Machine Learning
 
 for our client to be based out of their Dubai office.
 
 
 
 
 
 
 Job Purpose
 
 
 
 The role is responsible for designing, developing, and productionizing AI/ML models that deliver measurable business impact. It owns the full lifecycle from framing business problems and shaping datasets to model training, deployment with MLOps best practices, and postlaunch monitoring. The role ensures models are accurate, reliable, and aligned with business objectives, while translating complex business requirements into actionable AI solutions and promoting transparency across key processes and performance indicators.
 
 
 
 
 
 
 Responsibilities
 
 
 
 &bull; Design, train, validate, and deploy advanced ML/DL models (NLP, CV, transformers, statistical learning).
 
 
 &bull; Optimize models for accuracy, scalability, and latency to ensure production readiness.
 
 
 &bull; Apply Responsible AI principles, including fairness, bias detection, and explainability.
 
 
 &bull; Build and manage pipelines, feature stores, and ingestion frameworks (real-time and batch).
 
 
 &bull; Implement MLOps practices: CI/CD workflows, registries, automated retraining, and observability. &bull; Monitor and resolve issues related to data drift, leakage, and model reliability
 
 
 &bull; Ensure compliance with GDPR, ISO standards, ICAO digital/AI frameworks, and organizational policies.
 
 
 &bull; Promote transparency of AI-driven KPIs and processes across the enterprise.
 
 
 &bull; Conduct fairness audits, model explainability, and ethical risk assessments.
 
 
 &bull; Translate complex, ambiguous business challenges into AI/ML opportunities.
 
 
 &bull; Define scope, feasibility, and expected value of AI initiatives.
 
 
 &bull; Advise stakeholders on risks, trade-offs, and adoption strategies.
 
 
 
 
 
 
 
 
 
 Professional Certification Requirements:
 
 Professional certification in Machine Learning (preferred)
 
 
 
 Relevant Experience (Years):
 
 5-6 Years
 
 
 
 
 
 
 Skills, Tools, and Systems Experience:
 
 
 
 &bull; Programming &amp; Data Science: Python, R, SQL, StreamLit
 
 
 &bull; ML &amp; AI Frameworks: TensorFlow, PyTorch, Keras, scikit-learn, Hugging Face
 
 
 &bull; MLOps &amp; Deployment: Docker, Kubernetes, Git CI/CD
 
 
 &bull; Data Engineering: Apache Spark, Kafka, dbt
 
 
 &bull; Cloud Platforms: Azure ML
 
 
 &bull; Visualization: Power BI, Tableau
 
 
 &bull; Responsible AI Tools: AI Governance Platform (e.g. Atlan)
 
</div>

Data Scientist - Machine Learning

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Data Scientist - Machine Learning